Factors Contributing to Fatalities in Helicopter Emergency Medical Service Accidents
These findings emphasize the utility of machine learning in extracting meaningful insights from accident data, suggesting that such techniques offer a more nuanced understanding of the conditions leading to fatalities. It points out the potential of these methods to not only enhance aviation safety but also to be applied across other sectors. We conclude by underlining the significant potential of techniques like XGBoost in advancing safety measures within helicopter emergency medical service and possibly other aviation sectors. Korentsides J, Keebler JR, Berezovski M, Chaparro A. Factors contributing to fatalities in helicopter emergency medical service accidents. Aerosp Med Hum Perform. 2025; 96(2):111-115.
Authors
- Jenna Korentsides (ORCID: https://orcid.org/0000-0002-9833-7036)
- Alex Chaparro (ORCID: https://orcid.org/0000-0001-5824-0806)
- Joseph Roland Keebler (ORCID: https://orcid.org/0000-0003-2246-7472)
- Mihhail Berezovski
Publication Details
- Journal
- Aerospace Medicine and Human Performance
- Published
- 2025-02-01
- DOI
- https://doi.org/10.3357/amhp.6461.2025
- Citations
- 1
- Primary Topic
- Trauma and Emergency Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.25